diff --git a/api/app/core/memory/agent/utils/write_tools.py b/api/app/core/memory/agent/utils/write_tools.py
index 55bcb8ba..abbcc54d 100644
--- a/api/app/core/memory/agent/utils/write_tools.py
+++ b/api/app/core/memory/agent/utils/write_tools.py
@@ -151,9 +151,9 @@ async def write(
 
     # Step 3: Save all data to Neo4j database
     step_start = time.time()
-    from app.repositories.neo4j.create_indexes import create_fulltext_indexes
+    from app.repositories.neo4j.create_indexes import create_all_indexes
     try:
-        await create_fulltext_indexes()
+        await create_all_indexes()
     except Exception as e:
         logger.error(f"Error creating indexes: {e}", exc_info=True)
 
diff --git a/api/app/repositories/neo4j/create_indexes.py b/api/app/repositories/neo4j/create_indexes.py
index d9e94117..a10ee9a1 100644
--- a/api/app/repositories/neo4j/create_indexes.py
+++ b/api/app/repositories/neo4j/create_indexes.py
@@ -144,18 +144,6 @@ async def create_vector_indexes():
         """)
         print("✓ Created: dialogue_embedding_index")
 
-        # Community summary embedding index
-        await connector.execute_query("""
-            CREATE VECTOR INDEX community_summary_embedding_index IF NOT EXISTS
-            FOR (c:Community)
-            ON c.summary_embedding
-            OPTIONS {indexConfig: {
-              `vector.dimensions`: 1024,
-              `vector.similarity_function`: 'cosine'
-            }}
-        """)
-        print("✓ Created: community_summary_embedding_index")
-        
         print("\nVector indexes created successfully!")
         print("\nExpected performance improvement:")
         print("  Before: ~1.4s for embedding search")